nlp engineer

Virtual Oplossing Pvt. Ltd.

<p><b>Hiring: AI Engineer</b></p><p><b>Location:</b> Mohali (Onsite)</p><p><b>Shift:</b> Rotational</p><p><b>Employment Type:</b> Full-time</p><p><b>Key Responsibilities</b></p><p>Model Development &amp; Deployment (NLP/Sentiment)<br/><b>Design, build, and deploy advanced ML/DL models (Transformers, BERT, RNN/CNN models) for high-accuracy sentiment analysis, emotion detection, and intent recognition across reviews, social media, and customer interactions.</b></p><p>Trust &amp; Credibility Scoring Models<br/><b>Architect multi-modal trust/reputation scoring systems by defining strong feature sets, integrating signals (behavior history, network analysis, sentiment), and ensuring resilience against adversarial attempts.</b></p><p>Data Engineering for AI<br/><b>Manage end-to-end pipelines for unstructured text&mdash;collection, cleaning, normalization, feature engineering (embeddings, topic modeling), and data labeling for high-quality model training.</b></p><p>Performance Optimization<br/><b>Monitor, evaluate, and improve model KPIs (Precision/Recall, F1, AUC). Ensure low-latency, scalable production deployment for real-time inference.</b></p><p>A/B Testing &amp; MLOps<br/><b>Implement best practices in MLOps&mdash;model/data versioning, CI/CD pipelines, automated deployment, and structured A/B testing for model comparison.</b></p><p>Ethical AI &amp; Bias Mitigation<br/><b>Identify, reduce, and document biases in NLP and trust models. Ensure fairness, transparency, and explainability of model outputs.</b></p><p>Cross-Functional Collaboration<br/><b>Work with Data Scientists, Engineers, and Product teams to align business goals with AI solutions and integrate APIs into the main product ecosystem.</b></p><p><b>Required Technical Qualifications (4+ Years)</b></p><ul><li>Minimum <b>4+ years</b> as an AI/ML Engineer focused on NLP and text-based prediction.</li><li>Strong command of <b>Python</b>, Pandas, NumPy, Scikit-learn.</li><li>Hands-on experience with <b>custom NLP pipelines</b> and <b>LLM fine-tuning</b>.</li><li>Expertise in <b>BERT, RoBERTa</b>, Transformer-based and deep learning architectures for text classification.</li><li>Experience with <b>production deployments</b>, monitoring tools (Prometheus, Grafana), and <b>cloud (AWS/GCP/Azure)</b>.</li><li>Understanding of <b>Docker/Kubernetes</b> is a plus.</li><li>Strong foundation in <b>statistics, experiment design</b>, and ML evaluation metrics.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹40,000.00 - ₹55,000.00 per month</p><p>Work Location: In person</p>

AI Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div><div>Core Expertise:</div>
</div>
<div> <div>5+ years in AI/ML, NLP, and model deployment on GCP/Azure/AWS.</div></div><div><br>
<div>
</div></div><div><div>Strong Python skills; experience with TensorFlow, PyTorch, Transformers, LangChain, LlamaIndex.</div></div><div><br>
<div>
</div></div></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385646</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | AWS | Machine Learning</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF ENGINEERING</div></div></div><div></div>

Engineer

Webrange Solutions

<p>Webrange Solutions is a dynamic software development company that prides itself on it's team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.</p><p>We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.</p><p><b>Key Responsibilities</b></p><ul><li>Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).</li><li>Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.</li><li>Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.</li><li>Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.</li><li>Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.</li><li>Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.</li><li>Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.</li></ul><p><b>Requirements</b></p><ul><li>Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.</li><li>Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.</li><li>Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).</li><li>Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.</li><li>Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.</li><li>Experience with SQL/NoSQL databases is a plus.</li><li>Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.</li><li>Strong problem-solving skills and a passion for NLP and generative AI research.</li><li>Ability to work independently and collaboratively within cross-functional teams.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs150,000.00 per month</p><p>Work Location: In person</p>

RECRUITMENT SMART TECHNOLOGIES

<p><b>AI Engineer (3&ndash;5 Years Experience) </b></p><p>We are seeking a highly skilled AI Engineer with 4&ndash;7 years of experience who is passionate about building scalable AI systems and deploying advanced machine learning solutions into production. The ideal candidate will have strong hands-on expertise in Python, NLP, Generative AI, and working with modern data and search platforms such as ElasticSearch and Redis. In this role, you will collaborate with product, engineering, and data science teams to design, optimize, and operationalize AI solutions that enhance our HR technology products.</p><p><b>Key Responsibilities </b></p><p><i><b>AI System Design &amp; Development</b></i></p><ul><li>Design, build, and maintain end-to-end AI/ML pipelines&mdash;from data ingestion to model deployment.</li><li>Develop scalable architectures for training, serving, and monitoring machine learning and generative AI models.</li><li>Implement MLOps workflows and CI/CD automation for AI systems.</li></ul><p><i><b>NLP &amp; Language Model Engineering</b></i></p><ul><li>Build, fine-tune, and optimize NLP models for tasks such as classification, entity extraction, summarization, and matching.</li><li>Work with LLM frameworks like Hugging Face Transformers, OpenAI APIs, LangChain, or similar ecosystems.</li><li>Optimize inference performance using techniques like quantization, distillation, and prompt engineering.</li></ul><p><i><b>Generative AI &amp; LLM Integrations</b></i></p><ul><li>Develop generative AI solutions for use cases such as content generation, conversational AI, job&ndash;candidate matching, and workflow automation.</li><li>Integrate large language models into production systems with a focus on scalability, performance, and safety.</li><li>Experiment with cutting-edge generative AI research and incorporate relevant innovations into product features.</li></ul><p><i><b>Database, Search &amp; Retrieval Systems</b></i></p><ul><li>Work with NoSQL databases (e.g., MongoDB) to store and manage high-volume structured and unstructured data.</li><li>Build and optimize search and retrieval pipelines using ElasticeSearch, Redis, or vector databases.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and contextual understanding.</li></ul><p><i><b>API &amp; Backend Integration</b></i></p><ul><li>Design, develop, and maintain RESTful APIs for serving AI models and solutions.</li><li>Collaborate closely with backend teams to ensure seamless integration and high-performance deployment.</li><li>Implement monitoring, logging, and performance tuning for deployed AI services.</li></ul><p><i><b>Research, Innovation &amp; Continuous Improvement</b></i></p><ul><li>Stay updated on the latest trends in AI, LLMs, NLP, and scalable ML infrastructure.</li><li>Conduct research and prototyping to evaluate new models, frameworks, and architectures.</li><li>Drive innovation by identifying opportunities to enhance product performance and automation.</li></ul><p><b>Qualifications &amp; Skills</b></p><p><i><b>Mandatory</b></i></p><ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, AI/ML, Data Science, or a related field.</li><li><i><b>4&ndash;7 years of experience in AI engineering or ML engineering.</b></i></li><li>Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).</li><li>Hands-on experience with NLP frameworks (SpaCy, NLTK, Hugging Face).</li><li>Experience building, fine-tuning, and deploying large language models (LLMs) and Generative AI applications.</li><li>Solid understanding of data structures, software engineering principles, and distributed systems.</li><li>Strong working knowledge of MongoDB, Solr, and Redis.</li><li>Experience building and integrating RESTful APIs.</li><li>Familiarity with DevOps/MLOps concepts and CI/CD pipelines.</li></ul><p><b>Preferred</b></p><ul><li>Experience in HR Tech or recruitment AI systems.</li><li>Knowledge of Kubernetes, Docker, or cloud platforms (AWS, Azure, GCP).</li><li>Familiarity with vector databases (FAISS, Pinecone, Weaviate).</li><li>Experience with LangChain, LlamaIndex, or RAG-based architectures.</li><li>Contribution to open-source AI/ML/NLP projects.</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹1,200,000.00 - ₹1,800,000.00 per year</p><p>Ability to commute/relocate:</p><ul><li>Ahmedabad, Gujarat: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><ul><li>Current CTC</li><li>Expected CTC</li><li>Notice Period</li><li>Reason for Change</li></ul>

AI Engineer (Generative AI)

Accenture

<p><b>Project Role : </b>Custom Software Engineer<br>
<b>Project Role Description : </b>Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
<br>
<b>Must have skills : </b>Python (Programming Language), Natural Language Processing (NLP), DevOps, Machine Learning<br>
<b>Good to have skills : </b>NA<br>
Minimum <b>5</b> year(s) of experience is required<br>
<b>Educational Qualification : </b>15 years full time education<br>
<br>
Summary: As a Custom Software Engineer, you will develop custom software solutions to design, code, and enhance components across systems or applications. Your typical day will involve collaborating with cross-functional teams to understand business requirements, utilizing modern frameworks and agile practices to deliver scalable and high-performing solutions tailored to specific business needs. You will engage in coding, testing, and debugging processes, ensuring that the software meets quality standards and aligns with user expectations. Additionally, you will participate in team meetings to discuss project progress and address any challenges that arise, fostering a collaborative environment that encourages innovation and problem-solving. Roles &amp; Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve development processes to increase efficiency. Professional &amp; Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language), Natural Language Processing (NLP), Machine Learning, DevOps. Good know-how on Agile methodology &bull;Solid experience as a data engineer, data scientist, software engineer or in a related role &bull;Experience with Python, SQL, Java and/or other programming languages &bull;Experience using NoSQL databases like MongoDB &bull;Experience using Natural Language Processing (NLP) and familiar with semantic search technology. &bull;Experience using Azure Services such as Azure Storage, Azure Function Apps and Azure CosmosDB and possibly Azure AI Search &bull;Experience with Pandas and familiarity with python ML Libraries sklearn &bull;Good understanding about ML Ops and responsible AI system design &bull;Strong Problem solving and root cause analysis skills &bull;Curious to learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind Experience with DevOps, Continuous Integration and Continuous Delivery (GitLab CI/Azure DevOps) &bull;Nice to have LLM knowledge and front-end development experience &bull;Experience with langchain is big plus Additional Information: - The candidate should have minimum 5 years of experience in Python (Programming Language). - This position is based at our Pune office. - A 15 years full time education is required.</p>
<br>
15 years full time education

Custom Software Engineer

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 In this role, you&rsquo;ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.
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  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 &minus; Design and implement data pipelines for collecting, processing, and transforming data relevant for RAG and model evaluation.
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 &minus; Develop and manage data indexing and search systems (e.g., Vector Databases, Elasticsearch, Pinecone) for efficient Retrieval in RAG.
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 &minus; Select, train, and optimize ML models to enhance chatbot functionality (e.g., for intent understanding, entity extraction, sentiment analysis, if relevant).
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 &minus; Design and implement methodologies for evaluating the performance of RAG models, conversational flows, and the overall chatbot user experience.
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 &minus; Monitor model performance in production and implement strategies for retraining and improvement.
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 &minus; Collaborate with Business/Technical Analysts to understand business metrics and translate them into technical metrics.
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 &minus; Ensure data quality and integrity.
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 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 &minus; Minimum of 4 years of experience in Machine Learning Engineering or Data Science with an emphasis on NLP.
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 &minus; Expert knowledge of Python and relevant ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
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 &minus; In-depth knowledge of NLP and RAG (Retrieval Augmented Generation) concepts.
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 &minus; Experience with vector databases and search engines (e.g., Milvus, Pinecone, Elasticsearch).
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 &minus; Practical experience with GCP AI/ML services (Vertex AI, BigQuery ML, Cloud Natural Language API, Cloud AI Platform).
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 &minus; Google certification "Generative AI Leader", " Data Practitioner" , &ldquo;Machine Learning Engineer&rdquo;, "Cloud Database Engineer", "Data Engineer", "Cloud Security Engineer"
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 &minus; Experience with data pipelines and ETL processes.
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 &minus; Strong analytical skills and the ability to interpret complex datasets.
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 &minus; Experience with A/B testing and experimental design for ML models.
</div>


Senior Data Scientist

Simcoe IT

<p>We are looking for a motivated <b>AI Engineer / API Integrator</b> to join our growing AI development team. The ideal candidate will have hands-on experience in <b>Python, API integration, and LangChain</b> frameworks. You will be responsible for connecting and optimizing external AI and NLP APIs to power next-generation, multi-modal AI solutions.</p><p><b>Key Responsibilities</b></p><ul><li>Integrate and manage <b>external AI and NLP APIs</b> within the AI Processing Router Engine.</li><li>Design and maintain <b>query routing pipelines</b> for text, image, and video workflows.</li><li>Test and optimize <b>API performance and latency</b> across different AI layers.</li><li>Handle <b>API token management</b>, authentication, and security.</li><li>Collaborate with backend engineers to ensure stable and scalable integration.</li></ul><p><b>Required Skills &amp; Experience</b></p><ul><li>2 years of hands-on experience with <b>Python</b> programming.</li><li>Solid understanding of <b>LangChain</b>, <b>LLM workflows</b>, and <b>prompt optimization</b>.</li><li>Proven ability in <b>API integration</b> (REST / GraphQL) and data handling.</li><li>Familiarity with <b>AI model deployment</b> and multi-modal (text / image / video) data routing.</li><li>Strong debugging, analytical, and documentation skills.</li></ul><p>Apply at: haroon@searchopal.com Or share CV via WhatsApp: 0337-9928258</p><p>Job Type: Full-time</p><p>Pay: Rs80,000.00 - Rs90,000.00 per month</p><p>Work Location: In person</p>

AI Engineer / API Integrator

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